Data Platform Engineer
Greenwood Village, Colorado, United States of America
Contract
2 weeks ago
$56 USD
Key skills
JavaScalaSQLAIAnalyticsSparkApache SparkKafkaApache KafkaUnit TestingAWSAmazon Web Services
About this role
RESPONSIBILITIES:
Kforce is immediately seeking an experienced Data Platform Engineer in support of our enterprise telecommunications and mass media client based in Greenwood Village, CO.
Overview:
We are seeking a Data Engineer with strong experience in building and optimizing data pipelines within a cloud-based environment. This role is focused on data infrastructure and pipeline development, supporting data science and production use cases-not analytics or reporting. You will work closely with data science teams to ensure they have reliable, well-structured data to power models and drive insights, while also helping evolve and modernize the underlying data platform.
Duties Include:
* Design, build, and maintain scalable data pipelines for data science and production workloads
* Partner with data scientists to source, ingest, and prepare data for modeling and feature development
* Evaluate data availability and build solutions to ingest and structure new data sources
* Optimize data processing jobs for performance, scalability, and cost efficiency
* Develop and enhance data infrastructure, frameworks, and reusable components
* Implement data quality checks, validation, and unit testing
* Support production systems, including monitoring, troubleshooting, backfills, and enhancements
* Help improve and modernize legacy pipelines and systems with technical debt
REQUIREMENTS:
* Strong SQL skills and deep understanding of data structures and transformations
* Hands-on experience with Amazon Web Services (AWS)
* Experience working with large-scale data processing tools such as Amazon EMR or similar
* Proven ability to optimize and scale data pipelines, not just build them
* Solid understanding of data architecture and pipeline design
* Experience working in production environments, including debugging and performance tuning
Nice to Have:
* Experience with streaming technologies such as Apache Kafka
* Familiarity with distributed processing frameworks like Apache Spark
* Exposure to Scala or Java
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce is immediately seeking an experienced Data Platform Engineer in support of our enterprise telecommunications and mass media client based in Greenwood Village, CO.
Overview:
We are seeking a Data Engineer with strong experience in building and optimizing data pipelines within a cloud-based environment. This role is focused on data infrastructure and pipeline development, supporting data science and production use cases-not analytics or reporting. You will work closely with data science teams to ensure they have reliable, well-structured data to power models and drive insights, while also helping evolve and modernize the underlying data platform.
Duties Include:
* Design, build, and maintain scalable data pipelines for data science and production workloads
* Partner with data scientists to source, ingest, and prepare data for modeling and feature development
* Evaluate data availability and build solutions to ingest and structure new data sources
* Optimize data processing jobs for performance, scalability, and cost efficiency
* Develop and enhance data infrastructure, frameworks, and reusable components
* Implement data quality checks, validation, and unit testing
* Support production systems, including monitoring, troubleshooting, backfills, and enhancements
* Help improve and modernize legacy pipelines and systems with technical debt
REQUIREMENTS:
* Strong SQL skills and deep understanding of data structures and transformations
* Hands-on experience with Amazon Web Services (AWS)
* Experience working with large-scale data processing tools such as Amazon EMR or similar
* Proven ability to optimize and scale data pipelines, not just build them
* Solid understanding of data architecture and pipeline design
* Experience working in production environments, including debugging and performance tuning
Nice to Have:
* Experience with streaming technologies such as Apache Kafka
* Familiarity with distributed processing frameworks like Apache Spark
* Exposure to Scala or Java
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.